Triple

T23317078
Position Surface form Disambiguated ID Type / Status
Subject Norfolk station E590738 entity
Predicate ownedBy P347 FINISHED
Object City of Norfolk NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: City of Norfolk | Statement: [Norfolk station, ownedBy, City of Norfolk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Norfolk
Context triple: [Norfolk station, ownedBy, City of Norfolk]
  • A. City of Norfolk chosen
    The City of Norfolk is an independent coastal city in southeastern Virginia known for its major naval base, historic port, and role as a cultural and economic hub of the Hampton Roads region.
  • B. City of Portsmouth
    The City of Portsmouth is a unitary authority and historic naval city on the south coast of England, centered on Portsea Island and known for its maritime heritage and major Royal Navy base.
  • C. City of South Norfolk
    The City of South Norfolk was an independent Virginia city that later merged into the present-day city of Chesapeake.
  • D. Town of Norfolk
    The Town of Norfolk is a small rural community in northwestern Connecticut known for its scenic landscapes, historic charm, and outdoor recreation opportunities.
  • E. Norfolk
    Norfolk is a county in the East of England known for its rural landscapes, historic market towns, and extensive coastline along the North Sea.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e25d1d32188190948eb76909d1dcc3 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f197828c408190ae071624e40de4cc completed April 29, 2026, 5:30 a.m.
Created at: April 17, 2026, 5:06 p.m.